Electrical Engineering Computer Science

Arushi Chintakayala

New York City, NY, USA **********@*****.*** US Citizen

I am pursuing a degree in Electrical Engineering at Virginia Tech, with minors in Computer Science and Statistics. I am seeking an internship opportunity to be able to leverage strong communication skills, technical expertise, and passion for connecting technology with business needs. EDUCATION

Virginia Tech Blacksburg, Virginia

Bachelors in Electrical Engineering (B.S.)Expected Graduation: December 2027 Minor(s): Computer Science and Statistics GPA: 3.62/4.0 WORK EXPERIENCE

Cisco Solutions Manhattan, New York

Summer Extern June 2024 - July 2024

● Developed IoT solutions for 10+ systems with Python, using metadata-driven methods to cut setup time by 15% and improve scalability.

● Led a team of 5 to create a Python-based automation system, reducing documentation retrieval time by 20%.

● Applied foundational knowledge of TCP/IP, storage, and hardware to optimize system integration and enhance overall performance.

Capital Fund Management Manhattan, New York

Summer Intern June 2023 - August 2023

● Optimized Python data pipelines for algorithmic trading, boosting operational efficiency by 12% and enhancing decision-making.

● Developed a SQL framework to optimize hardware energy usage, contributing to a successful $50M investment portfolio strategy.

● Assisted in creating documentation for API integrations and ML models, supporting decision-making for portfolios exceeding $50M.

Hokie Electric Vehicle Team Blacksburg, Virginia

Propulsion Controls and Modeling Underclassmen Member November 2024 - Present

● Programmed and tested the Torque Path system for power distribution in AWD vehicles and adapted it for ACC.

● Helped integrate custom software into car’s electronic systems using CAN communication, ensuring smooth operation

● Ran simulations and real-world tests with Simulink to troubleshoot and improve performance, efficiency, and safety. PROJECTS

Solar Panel Optimization: Boosting Efficiency and Longevity September 2023 - June 2024

● Improved energy conversion efficiency by 20% through the development of embedded microcontroller solutions, optimizing real-time power output and enhancing adaptability to environmental changes.

● Designed and implemented an automated cleaning system that extended panel lifespan by 15%, reduced annual maintenance by 10 hours, and increased reliability by 18%, incorporating team feedback and integrating AI/ML models to optimize cleaning schedules and power generation. Boeing: Accelerated Fire Safety Enhanced Design August 2024 - December 2024

● Developed a multi-tank fuel management system for Boeing 737 that isolates leaks within seconds, reroutes fuel, and reduces fire risks by 30%, meeting CFR 14 Part 25.863 standards.

● Integrated carbon fiber tanks, cutting structural weight by 15% and improving fuel containment by 25%, while using Kubernetes and SLURM for real-time system simulations. SKILLS

● Systems: IoT, Metadata, Distributed-Systems, Optimization.

● Technical: Algorithms, Data-Structures, Scalability, Automation.

● Programming: Python, Java, C, C++, Ruby.

● Tools: Git, AWS, Docker, JIRA, SQL.

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